3c580b77dc
Review round 2 named GSD_HOME and KIMI_SHARE_DIR as missing from the derived scrub set. Both premises confirmed; the prescribed remedy is not adopted verbatim, because adding two more literals to a four-item hand list is the pattern that reopened this bug three times. The census the derivation generalizes over was partial, so the census is what widens. Two structural gaps, both closed at the source: 1. KIMI_SHARE_DIR lived inside resolveKimiHooksTomlDir's body as an inline descriptor, resolvable but not ENUMERABLE. Hoisted to an exported KIMI_HOOKS_TOML_DESCRIPTOR and collected in NON_REGISTRY_CONFIG_HOME_DESCRIPTORS, which TEST_ENV_BASE now derives from. kimi is the sharp case: it owns TWO config homes (KIMI_CONFIG_DIR, already registry-visible, and this one), so a registry-only derivation looks complete and is not. 2. GSD_HOME is a different FAMILY, not a missing registry entry. The registry describes where third-party runtimes keep config; GSD_HOME decides where GSD keeps its own user-owned state ($GSD_HOME/.gsd/ — consent.json, defaults.json, capability overlays), read env-first ahead of os.homedir() by capability-loader, capability-consent, capability-state, capability-writer, config-loader, install-profiles and bin/install.js. Named as GSD_LOCATION_ENV_KEYS rather than folded into the descriptor array, since it does not resolve through resolveConfigHomeFromDescriptor. GSD_AGENTS_DIR joins the same family (round 2, Minor): env-first and unconditional in getAgentsDir, misdirecting a read rather than a write. A census of every env-first first-party location var — the guard-shape question this PR owes each round — now yields exactly one remaining unguarded name, GSD_MODEL_CATALOG, and it is dead by precedence: the co-located candidate is index 0 and the loop breaks on first success, so the env var can only win on a tree that is already broken, and it redirects a read even then. Derived set: 39 -> 42 keys. resolveKimiHooksTomlDir behaviour unchanged on both the default and the KIMI_SHARE_DIR override path.
GSD Core
Git. Ship. Done.
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A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.
What is GSD Core
GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Antigravity CLI, Kimi CLI, Copilot, Cursor, and more) through a disciplined phase loop. It solves context rot — the quality degradation that accumulates as an AI fills its context window — by running all heavy research, planning, and execution work in fresh-context subagents while keeping your main session lean.
How it works
Each milestone repeats the same five-step loop, one phase at a time:
- Discuss — capture implementation decisions before anything is planned
- Plan — research, decompose, and verify the plan fits a fresh context window
- Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
- Verify — walk through what was built; diagnose and fix before declaring done
- Ship — create the PR, archive the phase, repeat for the next one
Quickstart
npx @opengsd/gsd-core@latest
The installer prompts for your runtime (Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more) and whether to install globally or locally. The installer is required for cross-runtime compatibility — do not copy files from agents/ or commands/ directly.
On another runtime or without Node.js? See Install on your runtime.
Once installed, start a new project or onboard an existing repo:
/gsd-new-project # greenfield project
/gsd-onboard # existing codebase
New here? Follow Your first project for a guided walkthrough from install to first shipped phase, or Onboarding an existing codebase for brownfield setup.
Documentation
What's new in 1.7.0 → docs/whats-new-1.7.0.md
Tutorials — learning by doing:
How-to guides — task-focused recipes:
Reference — authoritative facts:
Explanation — concepts and design decisions:
Full index: docs/README.md. Other languages: 日本語 · 한국어 · Português · 简体中文.
Why it works
Most AI-coding setups fail at scale because context bloat silently degrades output quality, there is no shared memory between sessions, and nothing verifies that code actually works. GSD Core solves all three: heavy work runs in fresh subagents, structured artifacts like STATE.md and CONTEXT.md survive session boundaries, and the verify step walks through what was built and generates fix plans before a phase is declared done. See docs/explanation/context-engineering.md for the full reasoning.
Troubleshooting? See docs/how-to/recover-and-troubleshoot.md.
Community
| Project | Platform |
|---|---|
| gsd-opencode | Original OpenCode port |
| Discord | Community support |
Star History
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.